Triple
T34363611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Were You in the Morning? |
E881946
|
entity |
| Predicate | associatedProducerRole |
P49052
|
FINISHED |
| Object | Teddy Geiger as producer |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Teddy Geiger as producer | Statement: [Where Were You in the Morning?, associatedProducerRole, Teddy Geiger as producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProducerRole Context triple: [Where Were You in the Morning?, associatedProducerRole, Teddy Geiger as producer]
-
A.
producerRole
chosen
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
B.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
C.
associatedProducerCollective
Indicates a relationship where an entity is linked to, or works in connection with, a specific producer collective.
-
D.
producerAssociation
Indicates a relationship where one entity is associated with or acts in the role of a producer for another entity or product.
-
E.
associatedProduction
Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.